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| http://dx.doi.org/10.1016/j.amjmed.2017.11.025 | DOI Listing |
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Healthy Kai (Food) Checker Web-Based Tool to Support Healthy Food Policy Implementation: Development and Usability Study.
JMIR Form Res
January 2025
Department of Epidemiology and Biostatistics, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Background: Public health programs and policies can positively influence food environments. In 2016, a voluntary National Healthy Food and Drink Policy was released in New Zealand to improve the healthiness of food and drinks for hospital staff and visitors. However, no resources were developed to support policy implementation.
View Article and Find Full Text PDFEvaluation of End-of-Life Quality Care Between American Indian and White North Carolina Decedents Diagnosed With Lung Cancer, 2003-2020.
JCO Oncol Pract
January 2025
Lineberger Comprehensive Cancer Center (LCCC), UNC-CH, Chapel Hill, NC.
Purpose: Lung cancer mortality rates for American Indians (AIs) are the highest among US race groups. End-of-life (EOL) care presents opportunities to limit aggressive and potentially unnecessary treatment. We evaluated differences in EOL quality of care between AI and White (WH) decedents with lung cancer.
View Article and Find Full Text PDFExploring the influence of age on the causes of death in advanced nasopharyngeal carcinoma patients undergoing chemoradiotherapy using machine learning methods.
Sci Rep
January 2025
Department of Otolaryngology, Hospital of Chengdu University of Traditional Chinese Medicine, No.39, Shierqiao Road, Jinniu District, Chengdu, Sichuan, China.
The present study analyzed the impact of age on the causes of death (CODs) in patients with nasopharyngeal carcinoma (NPC) undergoing chemoradiotherapy (CRT) using machine learning approaches. A total of 2841 patients (1037 classified as older, ≥ 60 years and 1804 as younger, < 60 years) were enrolled. Variations in the CODs between the two age groups were analyzed before and after applying inverse probability of treatment weighting (IPTW).
View Article and Find Full Text PDFBackground: National response time targets for ambulance services are known to be more strongly maintained in urban areas compared to rural. That may mean that responses in rural areas could be less immediate which can in turn affect survival of those experiencing cardiac arrest. Thus, analysis of variation in response times using routinely collected data can be used to understand which rural areas have the highest need for emergency intervention.
View Article and Find Full Text PDFThe Omics-Driven Machine Learning Path to Cost-Effective Precision Medicine in Chronic Kidney Disease.
Proteomics
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School of Public Health, University of Haifa, Haifa, Israel.
Chronic kidney disease (CKD) poses a significant and growing global health challenge, making early detection and slowing disease progression essential for improving patient outcomes. Traditional diagnostic methods such as glomerular filtration rate and proteinuria are insufficient to capture the complexity of CKD. In contrast, omics technologies have shed light on the molecular mechanisms of CKD, helping to identify biomarkers for disease assessment and management.
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